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AI, IoT and Remote Sensing for Precision Agriculture
Original price was: INR ₹112.00.INR ₹59.00Current price is: INR ₹59.00.
AI, IoT and Remote Sensing for Precision Agriculture is a Moderate-level, 3 Days online program by NSTC. Master AI, IoT, remote sensing, precision agriculture through hands‑on projects, real datasets, and expert mentorship. Earn your e‑Certification + e‑Marksheets in AI, IoT and Remote Sensing. Designed for professionals seeking practical AI department expertise in India.
About the Precision Agriculture Course
AI, IoT and Remote Sensing for Precision Agriculture is a 3‑day hands‑on course designed to introduce participants to the practical use of smart technologies in modern farming and agricultural monitoring.
Learn to collect, analyse and visualise farm‑level data using AI, IoT sensors, satellite imagery, drones and remote‑sensing platforms for soil moisture, temperature, humidity, crop health, irrigation intelligence, vegetation indices and yield‑related decisions.
Program Highlights
• Comprehensive coverage of IoT and Remote Sensing for Precision Agriculture from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Agriculture
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: Wokwi, MQTT, HiveMQ, Google Sheets
• Career-oriented training for academic and professional growth in Agriculture
Course Curriculum
Module 1: Day 1 – Foundations of AI, IoT & Remote Sensing
- Explore precision agriculture concepts and smart‑farm ecosystems
- Identify field‑level data types: soil moisture, temperature, humidity, crop health, vegetation status
- Set up virtual IoT sensors and map smart‑farm data flows
- Analyse satellite and drone imagery basics
Module 2: Day 2 – IoT‑Based Farm Monitoring & Irrigation Intelligence
- Build IoT architecture for smart agriculture applications
- Create virtual sensors for soil moisture, temperature, humidity and crop environment
- Implement MQTT communication for real‑time data transfer
- Publish/subscribe sensor streams using HiveMQ
Module 3: Day 3 – Remote Sensing, Yield Estimation & Decision Dashboards
- Explore satellite remote sensing for agricultural monitoring
- Use Sentinel Hub for crop health and vegetation analysis
- Interpret vegetation indices (NDVI, etc.) for precision farming
- Visualise spatial farm data with QGIS
Tools, Techniques, or Platforms Covered
Wokwi
MQTT
HiveMQ
Google Sheets
Python
Google Colab
Sentinel Hub
QGIS
MQTT
HiveMQ
Google Sheets
Python
Google Colab
Sentinel Hub
QGIS
Real-World Applications
- Apply IoT and Remote Sensing for Precision Agriculture skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Agriculture competencies
- Solve industry-relevant problems using IoT and Remote Sensing for Precision Agriculture methodologies and tools
- Contribute to open-source projects and collaborative research in Agriculture
- Prepare for competitive examinations, interviews, and professional certifications in Agriculture
Who Should Attend & Prerequisites
- Students pursuing degrees in Agriculture, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Agriculture roles
- Researchers and academicians looking to adopt modern techniques in Agriculture
- Entrepreneurs, freelancers, and self-learners interested in practical Agriculture knowledge
Prerequisites: Some familiarity with basic concepts in Agriculture will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.
Frequently Asked Questions
1. What is the format of this AI, IoT and Remote Sensing for Precision Agriculture course?
This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of Agriculture concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Days (60‑90 minutes each day). The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Agriculture. Our mentors are industry experts and experienced professionals.
Enroll in AI, IoT and Remote Sensing for Precision Agriculture today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Agriculture skills that matter.
| Brand | NSTC |
|---|---|
| Format | Recorded Lectures |
| Duration | 3 Days (60‑90 minutes each day) |
| Level | Intermediate |
| Domain | Agriculture |
| Hands-On | Yes – Practical projects with industrial datasets |
| Tools Used | Wokwi, MQTT, HiveMQ, Google Sheets, Python, Google Colab, Sentinel Hub, QGIS |
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